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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 7-RES-JB
    11. 9382
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    INDEX
    Explanations

    mentions of "teams"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of sports teams

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Accessory
    -0.86
    ariat
    -0.77
    Delivery
    -0.74
    ibrary
    -0.73
    ously
    -0.71
    tar
    -0.69
     Tablet
    -0.68
    Charges
    -0.65
     Creat
    -0.64
    idth
    -0.61
    POSITIVE LOGITS
     vying
    0.97
    peak
    0.96
    etter
    0.89
    heet
    0.88
    eries
    0.86
    ettings
    0.84
     competing
    0.83
    itution
    0.79
     compete
    0.78
    ubs
    0.76
    Activations Density 0.060%

    No Known Activations